
This model demonstrates how you can create a Boolean vector identifying the location of the minimum or maximum items in a vector of values.

This model demonstrates how you can take a scalar value and add it to one of the items of a vector using an Expression. It includes an illustrative Dashboard.

This model addresses the need to randomly order a given number of indexed items

This model demonstrates the various ways in which array constructors can be used to construct vectors or matrices from different inputs.

Example model illustrating adding a vector to an existing matrix

This model integrates (accumulates) a scalar daily signal over a period of 5 years and returns monthly and annual sums.

Methods to calculate the median of an array or time series are illustrated using Script elements and Function elements.

Take any vector of values and rank them according to their respective value from highest to lowest or the opposite.

This model shows how scalar and vector daily signals can be integrated to obtain annual sums stored in a vector or matrix format.

This model shows how a vector daily signal can be integrated to obtain monthly sums stored in a matrix format.

This model illustrates how to load values from a matrix into a vector and from a vector into a matrix. This can be done using GoldSim's vector and matrix constructors.

This example shows how to use a vector constructor to generate a vector of month flow rates for integration and other calculations

Demonstration of how an Extrema can be used to track yeartodate and annual values

This example model makes use of logical elements (AND, OR and NOT) to evaluate whether or not key criteria are met to justify the purchase of an espresso machine.

This example illustrates an efficient way (using cloned containers) to model multiple objects of the same type without having to manually reimplement identical model logic.

This model illustrates how you can add Select All and Select None functionality to check boxes in a GoldSim Dashboard.

The purpose of this model is to allow an arbitrary cumulative or discrete distribution to be specified by entering values and probabilities in a Dashboard.

This model shows an implementation of the classic game Mastermind

While in Edit mode, use dashboard controls to update expressions that change the status of dashboard result displays

Computation of building displacement or response to the signal created by earthquake ground motion using a Convolution element

This model illustrates how to use the Convolution element to compute cumulative warranty costs.

This simple model illustrates how to move discrete items from one state to another.

Delay a discrete change with a vector of delay times using a Reservoir and Information Delay. The reason this is needed is because the Discrete Change Delay does not allow nonscalar delay definitions.

This example combines both continuous and discrete dynamics to model the transport of a material by truck to a dock where the material is loaded onto ships.

This is a simple discrete events model of the number of tellers and the size of a queue of customers at a bank.

This model computes the difference between the initial value of a variable (at the beginning of a simulation) and the final value of the variable (at the end of the simulation).

This model describes a manufacturing process with the following stages: (1) casting, (2) prefinish, (3) ‘solution oven’ heat treatment, (4) ‘aging oven’ heat treatment and (5) a finishing process.

This example model shows how to use an External Element to call a DLL (compiled in Fortran) to perform calculations outside of GoldSim.

This example shows how a Script Element can be used to implement the state logic for a Game of Life simulation

This model file shows several Script Element examples that illustrate the various capabilities and features of Script Elements.

Use a Script element to replace the Splitter element for vector input types

Use a Script element to replace the Allocator element for vector input types

Calculate Normalized, Simulating Running Time

How to use the External element to link GoldSim and Python

How to statically link GSL to GoldSim with the External element

Generally applicable, dynamic convolution with the External element

Example of compiling a mixed language DLL for use with the GoldSim External Element

This model illustrates how an Integrator can be used to calculate moving averages.

Compares reservoir outflow and overflow with and without the Advanced Simulation Setting to allow unscheduled updates selected.

This model demonstrates how different Simulation Settings affect the plotted time history results for a simple pond overflow model.

This model shows a simple example of how to calibrate (or fit) a model to data

Demonstration of GoldSim optimization capabilities using a simple reservoir and hydropower model

This model is a very simple example demonstrating how GoldSim optimization works on a function that has an obvious minimum (or maximum) solution.

Simple Optimization Problem: Find maximum on polynomial with multiple optimums

This model illustrates how to fit a trend line to data using the GaussNewton method.

These two models simulate different aspects of the classic board game Risk.

A History Generator Element is used to model an Itoprocess random walk. The distribution of the future value is lognormal with mean and variance that both increase linearly with time.

Simple two state, continuous time Markov chain model which compares two theoretical probability distributions

This example shows how a vector of sampled values can be generated from a single distribution definition for Sampled, Cumulative and Discrete stochastics

This model demonstrates two different ways to index a data record for use in a GoldSim model, either sequentially or randomly.

This example shows how to define and sample vector discrete and cumulative distributions using (1) a vector uniform 01 stochastic to sample probability levels and (2) a script element to get the corresponding values.

This is a simulation for an ATM machine installed at an event location, where there are frequent customer visits

Example model simulating fractional airplane ownership using Resources to represent the airplanes

This example illustrates how to use a batch file to run GoldSim. It consists of a zip file containing a GoldSim file and a .bat file.

This simple model is used to illustrate how to use GoldSim's scenario capabilities, including how to create, edit and run scenarios.

The purpose of this model is to demonstrate the use of Reporting Periods in GoldSim.

Model used to demonstrate how a dashboard is used to define and evaluate multiple scenarios

This simple model illustrates how to use a Spreadsheet element. Data is exported from GoldSim into two cells in the spreadsheet, a calculation is carried out that references those cells, and the result of the calculation in the spreadsheet is then imported back into GoldSim.

This example demonstrates how a VBA macro can be used to run calculations in Excel based on input from GoldSim.

For a Monte Carlo simulation, export statistical histories to Excel

Example model that uses Excel VBA to automatically generate images of plots produced from results exported from GoldSim.

Water balance model illustrating a negative feedback loop and of the use of scenarios with a dashboard

Player model to illustrate differences in dashboards and scenarios between Player and GoldSim

Example model illustrating feedback from pressure and fatigue on productivity and quality

This simple model simulates the classic Polya urn problem in which stones, either black or white, are randomly selected (with replacement and addition) from a pot.

This is a model of the population dynamics of three groups adopting dove, hawk and lawabider strategies.

A simple inventory management model that illustrates the structural differences between how such a model is constructed in GoldSim, and how it would be constructed using a classic System Dynamics code.

The purpose of this model is to demonstrate time shifting historic data in a Time Series element. This type of model makes it easy to show summary statistics like exceedance probability of annual peak flow rate or mean annual flow rate.

This model includes 4 different methods of time shifting to be used in a wider array of applications.

This model illustrates how you can reference a Time Series like a lookup function to access future or past values.

Example model which generates probabilistic time histories and postprocesses time history statistics

Uses SubModels to preprocess (and plot) historic time series data

This example shows how to import 1D, 2D and 3D Lookup Table data from text and Excel files.

Examples illustrating basic Time Series element functionality

This model provides an example of calculating statistics for a data time series.

This model provides examples of two different methods which can be used to generate statistics for time histories.

This model plots paired data for equivalent time intervals on the same scatterplot.

This model creates a histogram from time series values and uses it to create a PMF of the data.

In this example, a SubModel is used to calculate average monthly rainfall amounts from a Time Series element containing rainfall rate data

A Script element is used to calculate various components from a date or datetime output, like Year, Month, Day, Minute, Second

This model compares the bisection and secant methods for finding roots of 2nd order polynomials (i.e. of the form C1*x^2 + C2*x + C3).

This model implements a spline interpolation method to generate smoothlyvarying dependent variable values from a 1D Lookup Table.

Comparison of two alternative technologies accounting for uncertainty and using Scenarios

Three different types of promotional campaigns are compared across a 180 day campaign period.

This model illustrate how conditional containers can be used to simulate projects.

This model simulates the process of obtaining FDA approval for a new drug.

Simple ECommerce, decisionmaking case study using GoldSim "whatif" simulation

This model illustrates perhaps the most famous example of chaotic behavior: that exhibited by the ´logistic difference´ equation to describe the growth of a population subject to a carrying capacity.

This example implements several predatorprey models taken from "Modeling the Environment" by Andrew Ford.

This is a simple model that simulates the life cycle of a salmon population as it migrates from the stream, to the ocean, and back to the stream. Although the data and model structure are fictional, it does provide a simple example of how such a model could be constructed.

These two models (continuous and discrete) simulate the spread of an acute infection through a population

Example model illustrating population dynamics modeling with Discrete Change elements and Integrator arrays

Simulate an aging chain using various methods to keep track of the age structure of a stock of material or items.

A logistic growth curve model is employed to simulate the adoption and diffusion of a new idea or technology

Use GoldSim's scenarios functionality to create a decision support framework for your next project.

Tutorial model that calculates the probability that Jason can buy a bike given his income and spending

This model demonstrates how a user of a dashboard can control currency exchange rates and select which currency to use in a model.

The purpose of this model is to demonstrate how GoldSim can calculate hydraulic functions dynamically.

A script element is used to solve for pumping flow as a function of the total dynamic head on the pump due to headloss.

This static GoldSim model calculates the normal depth in an open channel assuming uniform flow conditions.

This model simulates a Markov process that randomly switches between a wet state and a dry state to simulate rainfall given some key historic statistics.

This model demonstrates the use of GoldSim's optimization feature to calibrate a snowmelt model by automatically adjusting parameters to achieve correlation between historic streamflow record and streamflow calculated in the model.

Reusable model providing a modified Muskingum hydrologic routing formulation

Watershed runoff is calculated for three catchments using the same function but different inputs

This model presents a pond discharge versus pond capacity optimization problem.

This model illustrates one way in which GoldSim can be used to generate a stochastic precipitation record.

Use Markov process to simulate stochastic precipitation events based on a wet state and dry state.

Using the GoldSim optimization module, a rainfall generator is calibrated using historical data

Simulation of a diving bell released at a specified depth and moving towards the surface where it emerges above the water

This is a simple heat transfer model of a cooling cup of coffee.

In this simple model, widgets are processed at a warehouse for 30 days. The widgets arrive at a rate of about once every two hours. It takes a certain amount of time (1.8 hrs) to process each widget and ship it out, and only one widget can be processed at a time.

This reliability model illustrates a typical closed circuit grinding mill circuit, used in many mine processing plants.

This simple model shows one method for allocating competing demands on a Reservoir.

Operating rules control outflows from a reservoir that contains operating zones divided into surcharge, flood control, conservation, and dead pool zones.

This model explores 3 different methods of controlling discharge from a reservoir. The difference between these methods is important to understand for models that contain multiple reservoirs where discharge from one is being sent to another.

Simulate the breach in a dam as it grows through time and the resulting discharge hydrograph

Monte Carlo Simulation of the Dam Breach algorithm to calculate risk of failure

Simulate the operation of a simple reservoir with an overflow spillway.

This model illustrates how several methods for calculating a reservoir discharge can be combined into a single model. The methods includes calculations based on fluid physics, lookup tables and volumetrically under lowlevel conditions.

Check that inflows, outflows, and changes in storage within your flow model balance.

This model demonstrates the use of a Status element to control discharges from a reservoir.

This model incorporates the Scenario Manager to assist with stakeholder evaluations of environmental flow alternatives.

This is a model that simulates the performance of a lunar base over its planned 20 year lifespan. It illustrates how GoldSim's Reliability Module can be use to carry out a probabilistic risk assessment of a complex system.

This is a model that simulates an unmanned scientific mission to another planet. It illustrates how GoldSim's Reliability Module can be used to carry out a probabilistic risk assessment of a complex system.

This model counts the number of days in which some failure occurs. A failure event is defined as a reservoir overflow occurrence for any duration within a single day.

This model simulates a slot machine with 3 reels each having 5 images that wins money if you end up with 3 in a row.

This model file includes 5 variations on a simple inventory model. In each case, there is an initial inventory, a sinusoidal demand and a production rate that is constant, stochastic or influenced by feedback.

This is a demonstration model of an automobile supply chain. It represents two links in the chain: the OEM and a major tier 1 supplier (in this case, power trains).

This model simulates ships entering the harbor where each ship carries a random number of containers.

Calculate future, monthly water demands based on current usage and an annual projection

This model uses a submodel to estimate a possible shortfall for the coming year in order to set a supply curtailment if needed.

The purpose of this model is to demonstrate the use of GoldSim elements to represent a flow network of multiple storage elements that distribute water for water use. Water enters the system via "Inflow_Data".

Example model providing demonstration of two different priority implementations in an allocator element

Forecast water demand for multiple entities based on assumed starting conditions and projected rates of change such as population, water prices, and seasonal use adjustments.

This model demonstrates a simple continuous stream diversion and and a diversion operating for a fixed amount of time each week.

This model provides simulation of nonpoint source pollutant buildup and washoff with automated calibration.

Use the Reliability Module of GoldSim to calculate the failure modes of various components of a pumping station and water delivery system.